Data Analytical Specialist/Scientist - Senior

  • Toronto, ON, Canada
  • Remote
  • POSTED 5 MONTHS AGO

About the job

Job Title: Data Analytical Specialist/Scientist - Senior Location: Hybrid – 3 days onsite / 2 days remote (subject to change) Contract: 6 month contract

Pay Rate: $70 - $75/hr depending on experience.

About the Role

Our client is looking for an experienced Data Analytical Specialist/Scientist to join a high-performing Data Platform team. This team is responsible for delivering scalable, secure, and reliable data and cloud infrastructure solutions across the enterprise.

You will play a key role in ensuring data accuracy, integrity, and alignment across complex data ecosystems, working with modern technologies including Azure, Databricks, and enterprise data platforms.

Must-Have Requirements

8+ years of experience in Data Mapping & Documentation 8+ years of experience in Data Quality & Validation 8+ years of hands-on experience with Microsoft Azure

Key Responsibilities

Data Mapping & Documentation

Lead detailed data mapping across source systems, data platforms, and target environments Document field-level mappings, transformation logic, data lineage, and business rules Ensure alignment with enterprise data standards, governance, and architecture Maintain clear, version-controlled mapping documentation for engineering teams Analyze and profile datasets to identify structures, relationships, and data quality issues Identify data gaps, inconsistencies, and risks during migration or integration Stakeholder Collaboration

Collaborate with data engineers, architects, business analysts, and product owners Translate business requirements into technical mapping documentation Facilitate workshops to resolve data ambiguities and define business rules Data Quality & Validation

Define validation rules and expected outputs for testing teams Perform data reconciliation between source and target systems Partner with data governance teams to improve data quality and metadata accuracy Reporting & Insights

Develop dashboards and reports (e.g., Power BI) to support business needs Present insights and recommendations to both technical and non-technical stakeholders Contribute to self-service analytics and reporting frameworks

Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.

BEV123